their common vision, some paradigms were influenced by their considered use case, e.g. MEC paradigm enables constrained devices like smartphones to offload parts of the applications to save resources. However, two of the most popular paradigms (i.e. fog and edge computing) are widely used in research today.
These two paradigms were designed to enable processing IoT applications at the endpoints of the network, sharing more similarities than others. Other than the naming convention, the difference at the beginning for the two, i.e. fog computing extends the cloud creating a cloud-to-things continuum and edge computing places the application directly on the edge devices, was represented by the location where computations are performed. Since in the past couple of years there were tremendous advances for edge devices, this difference between the two has disappeared, both fog and edge aiming to deploy applications as close as possible to the edge of the network. Considering the similarities they share, we argue that there is no difference between their purpose of them.
Acknowledgment
The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764785, FORA (Fog Computing for Robotics and Industrial Automation). This publication was partially supported by the TUW Research Cluster Smart CT.
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